Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds genuinely useful behavior beyond that: it discloses the free-text matching nature and that a non-matching keyword yields a well-formed empty result, telling the agent an empty set is legitimate rather than an error.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences, front-loaded with the core scope and followed by the differentiator and the empty-result caveat. No redundant filler, though the final sentence is slightly tangential to selection.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return-value detail is unnecessary, and the description covers purpose, scope boundary, and empty-result behavior. Combined with annotations it is nearly complete for a three-param search tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so page, keyword, and per_page are already documented in the schema. The description only restates 'free-text keyword' and adds no syntax, format, or pagination semantics beyond the schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb (search) plus resource (Tiffany's own editorial pages: style guides, gift guides, World of Tiffany articles) with concrete examples. 'Not product data' clearly separates it from the tiffany_search/tiffany_product siblings, though it does not name the alternative tool directly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Establishes when to use it (free-text keyword search over editorial content) and gives an exclusion ('Not product data'), implicitly steering agents toward product tools for merchandise. It does not explicitly name the sibling to use instead, so it falls short of a full 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.